Two-Way Energy Trading and Online Planning for Fifth-Generation Communications with Renewables

TL;DR

This paper proposes a stochastic optimization framework using Lyapunov techniques for two-way energy trading and online planning in 5G networks with renewable energy, enhancing efficiency without requiring future knowledge.

Contribution

It introduces a novel Lyapunov-based method for decoupling energy trading and planning in 5G networks with renewables, addressing uncertainties in wireless channels and energy prices.

Findings

Decouples energy trading and planning, simplifying optimization.

Effectively handles uncertainties in wireless channels and energy prices.

Improves efficiency of 5G networks with renewable energy integration.

Abstract

Future fifth-generation (5G) cellular networks, equipped with energy harvesting devices, are uniquely positioned to closely interoperate with smart grid. New interoperable functionalities are discussed in stochastic two-way energy trading and online planning to improve efficiency and productivity. Challenges lie in the unavailability of a-priori knowledge on future wireless channels, energy pricing and harvesting. Lyapunov optimization techniques are utilized to address the challenges and stochastically optimize energy trading and planning. Particularly, it is able to decouple the optimization of energy trading and planning during individual time slots, hence eliminating the need for joint optimization across a large number of slots.